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bigsparser  

Sparse Matrix Format with Data on Disk
View on CRAN: Click here


Download and install bigsparser package within the R console
Install from CRAN:
install.packages("bigsparser")

Install from Github:
library("remotes")
install_github("cran/bigsparser")

Install by package version:
library("remotes")
install_version("bigsparser", "0.6.1")



Attach the package and use:
library("bigsparser")
Maintained by
Florian Privé
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-10
Latest Update: 2022-06-07
Description:
Provide a sparse matrix format with data stored on disk, to be used in both R and C++. This is intended for more efficient use of sparse data in C++ and also when parallelizing, since data on disk does not need copying. Only a limited number of features will be implemented. For now, conversion can be performed from a 'dgCMatrix' or a 'dsCMatrix' from R package 'Matrix'. A new compact format is also now available.
How to cite:
Florian Privé (2020). bigsparser: Sparse Matrix Format with Data on Disk. R package version 0.6.1, https://cran.r-project.org/web/packages/bigsparser
Previous versions and publish date:
0.1.0 (2020-04-10 10:40), 0.2.0 (2020-05-25 11:00), 0.2.2 (2020-06-29 19:30), 0.2.3 (2020-07-03 18:30), 0.3.1 (2020-07-26 11:00), 0.4.0 (2020-08-24 10:00), 0.4.1 (2021-01-07 08:00), 0.4.4 (2021-03-27 12:00), 0.5.0 (2021-07-09 11:00), 0.6.0 (2022-02-22 12:10)
Other packages that cited bigsparser R package
View bigsparser citation profile
Other R packages that bigsparser depends, imports, suggests or enhances
Functions, R codes and Examples using the bigsparser R package
Some associated functions: SFBM-class . SFBM-methods . SFBM_compact-class . bigsparser-package . crochet . sp_prodVec . sp_solve_sym . 
Some associated R codes: RcppExports.R . SFBM.R . bigsparser-package.R . prod.R . solve-sym.R . spmat-accessor.R .  Full bigsparser package functions and examples
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